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Title

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Data Operations Manager

Description

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We are looking for a dedicated and experienced Data Operations Manager to join our dynamic team. The Data Operations Manager will be responsible for overseeing the organization's data management processes, ensuring data accuracy, integrity, security, and compliance with relevant regulations. This role requires a strategic thinker who can effectively manage data operations, implement best practices, and drive continuous improvement in data handling and processing. The ideal candidate will have a strong background in data management, analytics, and operations, with proven experience in leading teams and managing complex data projects. You will collaborate closely with various departments, including IT, analytics, marketing, and finance, to ensure data-driven decision-making and operational excellence. Your role will involve developing and implementing data governance policies, managing data quality initiatives, and ensuring compliance with data protection regulations. As a Data Operations Manager, you will be expected to identify opportunities for process improvement, streamline data workflows, and enhance data systems to support organizational goals. You will also be responsible for training and mentoring team members, fostering a culture of data literacy and accountability within the organization. The successful candidate will possess excellent analytical and problem-solving skills, strong leadership abilities, and exceptional communication skills. You must be detail-oriented, organized, and capable of managing multiple projects simultaneously. Familiarity with data management tools, databases, and analytics software is essential. In this role, you will have the opportunity to make a significant impact on the organization's data strategy and operations, driving efficiency, accuracy, and compliance. You will work in a collaborative environment that values innovation, continuous learning, and professional growth. We offer competitive compensation, comprehensive benefits, and opportunities for career advancement. If you are passionate about data management, have a proven track record of success in data operations, and are looking for a challenging and rewarding opportunity, we encourage you to apply. Join our team and help us leverage data to achieve our strategic objectives and drive organizational success.

Responsibilities

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  • Develop and implement data management policies and procedures.
  • Oversee data quality assurance processes and initiatives.
  • Ensure compliance with data protection regulations and standards.
  • Manage and mentor data operations team members.
  • Collaborate with cross-functional teams to support data-driven decision-making.
  • Identify and implement process improvements in data workflows.
  • Monitor and report on data operations performance metrics.
  • Coordinate data integration and migration projects.
  • Maintain and enhance data management systems and tools.
  • Provide training and support to staff on data management best practices.

Requirements

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  • Bachelor's degree in Information Technology, Computer Science, or related field.
  • Minimum 5 years of experience in data management or data operations.
  • Proven leadership experience managing data teams.
  • Strong knowledge of data governance and data quality principles.
  • Experience with data management tools and databases (SQL, Oracle, etc.).
  • Excellent analytical, problem-solving, and organizational skills.
  • Strong understanding of data protection regulations (GDPR, CCPA, etc.).
  • Ability to manage multiple projects and priorities simultaneously.
  • Excellent communication and interpersonal skills.
  • Proficiency in data analytics and visualization tools (Tableau, Power BI, etc.).

Potential interview questions

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  • Can you describe your experience managing data operations teams?
  • How do you ensure data quality and accuracy within an organization?
  • What strategies do you use to maintain compliance with data protection regulations?
  • Can you provide an example of a successful data integration or migration project you managed?
  • How do you handle conflicting priorities and tight deadlines in data operations?
  • What tools and technologies do you prefer for data management and analytics?